Ashwin C
@ashwinc
Software engineer blending cloud, data, and product delivery to turn insights into reliable operations.
What I'm looking for
I’m a software engineer with close to 5 years in JPMorgan Chase’s financial ecosystem, working where cloud platforms, data analytics, and product delivery meet. I’m Google Cloud certified (Associate Cloud Engineer, Professional Cloud Developer) and have hands-on AWS and Azure exposure, with comfort across multi-cloud environments. I use SQL-based extraction and analysis, reconciliation/validation, and operational dashboards to keep reporting outputs accurate and actionable.
In my current role, I translate insights into clear requirements for engineering teams, partner with Product Managers to prioritize backlog items by impact and feasibility, and drive production issue resolution through root-cause analysis—contributing to a 30%+ reduction in recurring downtime. I’ve also built image classification pipelines as a Machine Learning intern, improving accuracy by 15% and reducing processing time by 20%, and I’m now looking to formally step into product management with a focus on where AI and automation intersect with FinOps and cloud cost governance.
Experience
Work history, roles, and key accomplishments
Centre Leader
U&I India
Jun 2025 - Present (1 year)
Led and mentored a team of 30+ volunteers supporting 45 students, owning recruitment, onboarding, and day-to-day scheduling. Organized science fairs and hackathons and helped crowdfund over INR 3 lakh to support center operations.
Analyzed platform usage and operational data with SQL, translating findings into engineering requirements and supporting Agile backlog prioritization. Built Splunk/Grafana monitoring dashboards and performed data reconciliation to improve financial accuracy, contributing to a 30%+ reduction in recurring downtime.
Machine Learning Intern
Smartknower
Aug 2020 - Oct 2020 (2 months)
Built image classification pipelines in Python using VGG19 and ResNet, improving accuracy by 15% through structured experimentation on data preparation and model evaluation. Reduced pipeline processing time by 20% through optimization of the training/inference workflow.
Education
Degrees, certifications, and relevant coursework
MVJ College of Engineering
Bachelor of Engineering, Electronics & Communication Engineering
2017 - 2021
Grade: CGPA: 8.0 / 10.0
B.E. in Electronics & Communication Engineering at MVJ College of Engineering (VTU) from 2017 to 2021, graduating with a CGPA of 8.0/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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